NubbleDrop: A Simple Way to Improve Matching Strategy for Prompted One-Shot Segmentation

19 May 2024

Papers citing "NubbleDrop: A Simple Way to Improve Matching Strategy for Prompted One-Shot Segmentation"

4 / 4 papers shown

Title
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching Yang Liu Muzhi Zhu Hengtao Li Hao Chen Xinlong Wang Chunhua Shen VLM MLLM 88 83 0 22 May 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 325 4,077 0 24 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,443 0 11 Nov 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 301 3,708 0 11 Feb 2021